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K – Nearest Neighbors Algorithm
K – Nearest Neighbors Table Of Contents: What Is K – Nearest Neighbor Algorithm? How Does The KNN Algorithm Work? How Do We Choose The Factore K? Distance Metrics Used In KNN Algorithm. Advantages & Disadvantages Of KNN Algorithm. Applications Of KNN Algorithm. (1) What Is K – Nearest Neighbor? The k-nearest neighbours (k-NN) algorithm is a popular supervised machine learning algorithm used for both classification and regression tasks. It operates based on the principle that data points with similar features tend to belong to the same class or have similar output values. It is widely disposable in real-life scenarios
